Solutions Architect jobs in Israel

Join Mobileye, a leader in autonomous driving technology, and shape the future of transportation. As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization. ** This role requires working from our Petah Tikva site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability. What will your job look like? • Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with Mobileye's hardware and software capabilities. • Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands. • Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features. • Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success. • Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability. All you need is: • Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture. • Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies. • Familiarity with Automotive ecosystem: Sensors (Radars, Lidars, Cameras), time-syncing, calibrations and integrations, Vehicles ECU's. • Embedded Context: Experience with complex embedded systems/Linux environments. • Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership. • Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners. • Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations. • Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Join Mobileye, a leader in autonomous driving technology, and shape the future of transportation. As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization. ** This role requires working from our Jerusalem site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability. What will your job look like? • Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with Mobileye's hardware and software capabilities. • Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands. • Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features. • Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success. • Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability. All you need is: • Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture. • Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies. • Familiarity with Automotive ecosystem: Sensors (Radars, Lidars, Cameras), time-syncing, calibrations and integrations, Vehicles ECU's. • Embedded Context: Experience with complex embedded systems/Linux environments. • Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership. • Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners. • Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations. • Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you! What You'll Be Doing: • Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology. • Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications. • Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community. • Develop demo solutions and showcase to the AI ecosystem. What We Need To See: • B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience • 5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable. • Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton • Proven Exposure to GPU technology and CUDA programming • Demonstrable experience in strategy, research, communications. • Capable of working in a constantly evolving environment without losing focus. • Committed with strong analytical and problem solving skills. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Direct experience participating in communities (expertly or as highly engaged developer). Ways To Stand Out From The Crowd: • Technical knowledge of developer digital platforms and their trends. • Experienced working with containers, Kubernetes and MLoPS tools • Exposure to C, C++ and Python. • Research background. • Good presentation skills #deeplearning

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd: • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background.

We at NVIDIA Networking Solutions Labs seek a forward-thinking, innovative, and experienced Solutions Architect with hands-on experience. By joining the team, you’ll take a part in the design and implementation of complex data center solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis. You will work with software developers and architects to research and analyze new, groundbreaking technologies. The candidate is expected to have hands-on experience with data center technologies, including operating systems, virtualization and containerization technologies, storage, networking, and infrastructure as code (IaC) tools such as Ansible. A candidate for this position must excel at working independently as well as in a group, in a multidisciplinary, dynamic environment. What you’ll be doing: • Implement cutting-edge, end-to-end data center solutions with modern applications. • Architect, develop, deploy, automate, analyze, formalize findings, and release summary reports. • Develop and release reference deployment guides and how-to tutorials. • Support company business units on complex solutions delivery by consulting, providing solutions designs, running POCs, etc. • Research technology trends and deliver best practices for integrating NVIDIA products and technologies. What we need to see: • Bachelor's degree in Exact Science or higher, or equivalent experience • 5+ years of field experience as a hands-on Solution Engineer, Solution Architect, or Senior DevOps. • Experience with the design and implementation of complex data center solutions. • Vast experience with Linux, Kubernetes, Docker containers, and QEMU/KVM virtualization. • Understanding of Networking layers and services (L2/L3, TCP/IP, Firewalls, DNS, DHCP, etc.) Ways to stand out from the crowd: • Experience with distributed systems and system analysis, with modern big data frameworks, and with AI / ML frameworks and use cases. • High level of personal responsibility and the ability to optimally prioritize and complete tasks in a fast-paced and frequently changing environment. • Excellent Hebrew/English interpersonal and written communication skills. • Fast ramp up, quick learning, high motivation, independent and effective troubleshooting and problem-solving skills. We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.

Job Description Summary The Architect, Data Integration & Digital Platform Solutions is responsible for designing and governing the data architecture that enables customer data to be securely ingested, transformed, integrated, and leveraged across the organization's digital platform ecosystem. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description The Architect, Data Integration & Digital Platform Solutions is responsible for designing and governing the data architecture that enables customer data to be securely ingested, transformed, integrated, and leveraged across the organization's digital platform ecosystem. This role serves as the technical leader for customer data onboarding, interoperability, integration frameworks, and enterprise data architecture, ensuring that customer data becomes a scalable foundation for analytics, operational intelligence, workflow optimization, and decision support. Working across Product, Engineering, Data Science, Customer Success, and Commercial teams, this individual will establish the architecture required to connect disparate customer systems and transform fragmented data into actionable insights across Capital Planning, Operations, Clinical Operations, Revenue Optimization, and Supply Chain domains. This role will require 50% travel. Essential Responsibilities Customer Data Integration Strategy • Define and execute the architectural strategy for onboarding and integrating customer data into commercial digital platforms. • Design scalable data ingestion frameworks to support structured, semi-structured, and unstructured customer data sources. • Establish standards and best practices for customer data acquisition, transformation, validation, and enrichment. • Ensure data integration architectures support current business requirements and future platform growth. • Drive technology decisions that simplify customer onboarding while improving data quality and usability. Healthcare & Enterprise Data Architecture • Design enterprise data models that create a unified view across customer operational, clinical, financial, and asset management systems. • Develop architectures that support healthcare interoperability standards including HL7, FHIR, DICOM, and API-based integrations. • Create standardized integration patterns for EHR, ERP, CMMS, supply chain, financial, and operational systems. • Ensure platform architectures support advanced analytics, machine learning, and enterprise decision intelligence capabilities. Data Platform & Cloud Architecture • Design scalable cloud-based architectures supporting data ingestion, storage, processing, governance, and analytics. • Define data pipelines and integration frameworks that support real-time, near real-time, and batch processing requirements. • Architect solutions that support large-scale customer data onboarding and multi-tenant platform growth. • Ensure high availability, reliability, performance, and scalability of data services. Data Quality, Governance & Security • Establish architecture standards for data quality, lineage, governance, privacy, and regulatory compliance. • Design controls that ensure customer data accuracy, completeness, and integrity throughout the data lifecycle. • Embed cybersecurity, access controls, and compliance requirements into all integration and data management solutions. • Partner with governance teams to ensure adherence to security and regulatory standards. Cross-Functional Technical Leadership • Collaborate with Product Management to define data requirements supporting commercial and customer outcomes. • Partner with Engineering teams to implement scalable integration and data platform solutions. • Serve as the technical advisor for customer onboarding initiatives, integration planning, and architecture reviews. • Guide solution designs that accelerate implementation timelines while minimizing integration complexity. • Mentor engineering and technical teams on data architecture best practices. Preferred Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or related field. • 10+ years of experience in enterprise architecture, data architecture, integration architecture, or software engineering leadership. • Experience designing and implementing large-scale data integration and analytics platforms. • Strong knowledge of data engineering, ETL/ELT frameworks, APIs, cloud platforms, and enterprise integration patterns. • Experience working with healthcare, operational, financial, or supply chain data environments. • Demonstrated success translating complex business requirements into scalable technical solutions. • Experience with healthcare interoperability standards, including FHIR, HL7, and DICOM. • Expertise in cloud-native data platforms and modern data architectures. • Experience supporting SaaS, digital health, enterprise analytics, or decision intelligence platforms. • Knowledge of AI/ML, predictive analytics, and enterprise reporting architectures. • Industry certifications in cloud architecture, data engineering, or enterprise architecture. Impact of the Role This role is foundational to the organization's digital growth strategy. The Architect will establish the technical framework that transforms customer data into a strategic asset, enabling scalable platform growth and powering enterprise decision intelligence across Capital Planning, Operations, Clinical Operations, Revenue Management, and Supply Chain optimization. By creating a robust and repeatable data integration architecture, this leader will accelerate customer onboarding, improve data quality, and unlock measurable value for customers through advanced analytics and operational insights. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-ML2 We will not sponsor individuals for employment visas, now or in the future, for this job opening.

For U.S. based positions only, the pay range for this position is $188,000.00-$282,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No Application Deadline: January 26, 2027

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: • Optimize LLM inference across various modalities to drive business value and support customer goals • Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers • Design and implement LLM-based solutions using Nebius Token Factory’s inference services • Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models • Provide technical expertise in prompt engineering, RAG architectures and model selection • Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap • Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: • 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI • Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches • Hands-on experience with: • Running LLMs in production: deploying and operating inference workloads • LLM fine-tuning, including supervised fine-tuning (SFT/LoRA) and data preparation/curation; experience with RL-based fine-tuning is a strong plus • LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups • Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models • Strong Python programming skills • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: • Work with multimodal AI models (e.g., vision-language, speech) • Proficiency with DevOps tools (Docker, Kubernetes) • Contributions to open-source ML/AI projects Preferred technical stack: • Programming Languages: Python • ML Frameworks and Libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our EU regional SA teams. Your scope is PoC delivery and post-sales technical support: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from any EU country. Your responsibilities will include: Lead the team • Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans • Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest • Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do • Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions • Onboard new joiners through to their first independently delivered engagement • Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery • Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production • Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it • Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries • Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team • Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy • Get it used, not just written: documentation nobody reads is a cost, not an asset • Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone • Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams • Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions • Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream • Account management: make production handoffs uneventful, and keep post-sales technical requests moving • Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: • 3+ years managing technical teams, including performance management and difficult conversations • Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. • Strong ML knowledge: LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) • Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion • Python strong enough to read and review your team's code • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure • Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick • Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: • References from both former managers and former direct reports • Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality • Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider • Experience defining process and documentation for a team that had none • Hands-on background running LLMs in production and debugging inference workloads at the framework level • Work with multimodal AI models (vision-language, speech) • Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: • Programming languages: Python • ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Customer experience Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are looking for an experienced Partner Solutions Architect with a proven track record of enabling both value-added resellers (VARs) and technology partners. You will help partners build differentiated offerings on Nebius, enable Channel joint value propositions and take those solutions to market. You will own the technical partner relationship, connecting partner sales, presales, product and engineering teams with their counterparts at Nebius. Combining cloud architecture expertise with commercial judgment, you will help partners win customers and grow adoption through repeatable solutions and effective enablement. You’re welcome to work from our office in Amsterdam or remotely from any EU country. Your responsibilities: • Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes. • Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations. • Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning. • Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform. • Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams. • Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities. • Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities. What you bring • 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships. • Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings. • Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact. • A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences. • Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs. • Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority. • Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money. • A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly. Added bonuses The following experience would be valuable but is not required for the role: • Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform. • Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps. • Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations. • Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms. I-PL1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company’s biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition is to combine startup pace with enterprise discipline: product thinking, predictable delivery at scale, strong engineering standards, and clear architecture, security and quality gates that enable speed without compromising control. DADAI has been shaped as an enterprise “factory”, 200+ engineers, designed to absorb significant demand across multiple global domains, industrializing the path from idea to production and continuous improvement while scaling through strategic partners and still preserving internal knowledge and ownership. This is a rare opportunity to join a new leadership organization and to help set how the Teva will use data, analytics and AI to modernize decision making, automate critical processes, and accelerate innovation across core functions and value chains. The Role We are seeking a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role is responsible for translating business requirements into secure, scalable, supportable architectures and guiding delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement. How You’ll Spend Your Day • Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost. • Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance. • Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams. • Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment. Your Skills and Experience • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. • 15+ years of IT experience, including 10+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms. • 2+ Years experience in hands-on delivery of with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. • 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. • Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews, code reviews, and production readiness checks. • Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements. • Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions. Key Skills • Hands-on technical leadership with a clear lead-by-example mindset. • Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements. • Ability to translate business problems into practical, delivery-ready technical solutions. • Strong troubleshooting, decision-making, estimation, and risk management capability. • Comfort working across distributed teams and external suppliers in enterprise delivery environments. Also Good to Have • Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns. • Experience with Microsoft Fabric, Power Platform governance, Azure DevOps, GitHub Enterprise, and CI/CD for analytics or AI solutions. • Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault. • Experience in life sciences, pharmaceuticals, or other regulated industries. • Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance. Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault. Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns. How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

Description About the role Commit builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. We’re looking for a Senior System Engineer with a strong mobile focus to sit at the intersection of analysis, design, and hands-on delivery — turning business and system requirements into clear architecture and detailed design, then helping build it. You’ll analyze requirements, own the High Level Design (HLD) and Low Level Design (LLD) — including mobile app architecture — and stay hands-on (~50% of your time) as a full-stack developer across a React, Node.js, React Native, and .NET stack, with React Native and mobile at its core. You’ll partner directly with clients (including large enterprise and banking environments). What you’ll do • Analyze system and business requirements — elicit, clarify, and structure them into clear, complete, and testable specifications. • Own the High Level Design (HLD), including mobile app architecture: system structure, components, integrations, data flows, and non-functional requirements. • Produce the Low Level Design (LLD): detailed module and API design, data models, and sequence flows, ready for implementation. • Stay hands-on (~50%): write production code full-stack — React, Node.js, .NET (C#), and React Native — with mobile at the center of what you build. • Partner with product, architects, developers, and QA to translate designs into delivery and keep requirements, design, and implementation aligned. • Uphold engineering standards: code reviews, testing, and secure-by-design practices across the solution. Requirements Must-have qualifications • 6+ years in software engineering, including hands-on system analysis and design. • Proven experience in system requirements analysis — eliciting, specifying, and structuring requirements for non-trivial systems. • Proven experience authoring HLD and LLD documents (architecture, component and API design, data models, integration and sequence diagrams). • Strong mobile development background — hands-on production experience with React Native and mobile app architecture (navigation, state management, offline/sync, performance, native-module integration, and app-store delivery). • Full-stack experience — production-level command across frontend (React), backend (Node.js and .NET / C#), and mobile (React Native), able to write production code, not just review it. • Solid grasp of software architecture patterns, API/service design, and system integration. • Strong handling of non-functional requirements — performance, security, scalability, and reliability —and secure-by-design practices. • Fluent with modern dev tooling: Git, JIRA, Jenkins. • Professional-level English. • Excellent interpersonal and communication skills. Nice to have • Native mobile experience (iOS / Swift, Android / Kotlin) alongside React Native. • Cloud experience (Azure / AWS) and microservices or messaging (e.g. gRPC, RabbitMQ, Kafka). • Familiarity with modeling and diagramming tools (e.g. UML, C4) for HLD/LLD. • Experience with AI-first development (Claude Code, Cursor). • Experience working in large organizations (e.g. banking / financial services).

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a As a Key Solutions Architect- Prompt, you will be tasked with supporting SentinelOne's AI Security business (Prompt Security), you are the embedded technical consultant for our post-sales technical resource, guiding enterprise customers through deployment, onboarding, and long-term success on our platform. You'll work alongside senior Solutions Architects and Account teams, assisting in ad hoc troubleshooting and taking ownership of your own accounts as you build experience while getting mentorship on more complex engagements. What Will You Do? Primary responsibilities include: • Deployment Support: Assist with (and increasingly own) onboarding and deployment milestones, timelines, and technical deliverables for a book of accounts. • Technical Guidance: Serve as the day-to-day point of contact during implementation, providing guidance on integration setup, security configuration, and platform best practices, with senior support for complex architectural questions. • Relationship Management: Build relationships with customer technical stakeholders; communicate status and risks clearly and proactively. • Cross-Functional Collaboration: Work with Support, Product, Engineering, and Services teams to help drive issue resolution and align on customer outcomes. • Customer Advocacy on Escalations: Stay informed on Support-led escalations affecting your accounts and represent the customer's interests internally. • Enablement & Content: Contribute to and help maintain technical resources, training materials, and enablement content. What Skills and Knowledge Will You Bring? Ideal candidates will have: • 2+ years of experience in a technical, customer-facing, or IT/security role (internships, co-ops, and relevant coursework/certifications count), with cybersecurity exposure a plus. • Foundational understanding of IT/security concepts; coursework or hands-on experience with Windows, macOS, Linux, and basic containerized environments (e.g., Docker/Kubernetes) is a plus. • Strong communication skills and comfort presenting to technical audiences. • Eagerness to learn, take ownership, and grow technical depth quickly. • Basic familiarity with project management or CRM tools (e.g., Asana, Jira, Salesforce) is a plus • Prior experience in Custome-Facing technical roles. • Experience working with AI systems. • Exposure to cloud infrastructure, APIs, or SaaS platforms. • Embodies the SentinelOne values: Trust, Accountability, OneSentinel, Relentlessness, Ingenuity, and Community. Why us? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards • Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing • Competitive leave benefits • Gender-neutral parental leave • Employee Assistant Program • Workout sessions and a Wellness App Insurance & Financial Security • Medical and insurance benefits • Pension • Employee Assistance Program (EAP) Work Perks & Flexibility • Global home office allowance • Mobile phone reimbursement SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles. To learn more about how we use AI in our hiring process, please review our AI in Hiring Candidate Disclosure.

Description CodeValue is looking for an experienced AI Solutions Architect to join our team and support the design and implementation of AI solutions across organizational systems. The role focuses on designing AI-based solutions to improve existing business processes, supporting development teams in implementing AI solutions, and defining scalable, secure, and compliant AI architectures. The position combines AI architecture, Cloud technologies, technical consulting, and cross-functional collaboration. This is not a pure hands-on development role; rather, it requires strong technical leadership, architectural thinking, and the ability to guide development teams throughout the implementation lifecycle. Key Responsibilities • Design and architect AI-based solutions for organizational and enterprise-wide use. • Support development teams in planning and implementing AI solutions. • Provide technical guidance and participate in POCs, including involvement at the code level when required. • Define best practices and guidelines for the effective use of AI models. • Develop technical procedures and guidelines for development teams while ensuring compliance with regulatory and information security requirements. • Design cross-organizational AI solutions, including solutions for making organizational data and information more accessible. • Work with external vendors and partners on AI-based projects, including technical guidance, coordination, and quality control. • Troubleshoot complex technical challenges and provide architectural solutions. • Lead and coordinate technology initiatives and work closely with multidisciplinary teams. • Support teams in adopting AI technologies and integrating them into existing systems and processes. Requirements • 4+ years of experience as a Solutions Architect / Cloud Architect in Public Cloud environments. • Strong knowledge of IaaS, PaaS, and SaaS environments. • Proven experience designing and implementing Cloud-based solutions and architectures. • Experience with AI technologies, AI-based solutions, or Generative AI. • Experience providing technical guidance to development teams. • Experience with POCs and the ability to engage at the code level when required. • Understanding of AI governance, information security, and regulatory requirements. • Experience working with external vendors and technology partners. • Experience managing or leading technical teams and technology initiatives. • Strong communication, problem-solving, and architectural skills. Location & Work Model • Jerusalem, Israel • On-site position, according to project requirements. Security & Compliance The role involves working with organizational systems and may require compliance with applicable information security and regulatory requirements.